Preparation of land subsidence susceptibility map using machine learning methods based on decision tree (case study: Isfahan–Borkhar) by Negar Ghasemi, Iman Khosravi, Ali Bahrami

“…InSAR techniques allow for high-precision measurements of surface deformation across large areas, making them invaluable in understanding and modeling subsidence patterns. When combined with machine learning approaches, these technologies offer even greater potential for developing predictive models and susceptibility maps, enabling proactive risk management. …”
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Harnessing sequencing data for porcine reproductive and respiratory syndrome virus (PRRSV): tracking genetic evolution dynamics and emerging sequences in US swine industry by Srijita Chandra, Guilherme Cezar, Kinath Rupasinghe, Edison Magalhães, Gustavo S. Silva, Marcelo Almeida, Bret Crim, Eric Burrough, Phillip Gauger, Darin Madson, Joseph Thomas, Michael Zeller, Jianqiang Zhang, Rodger Main, Albert Rovira, Mary Thurn, Paulo Lages, Cesar Corzo, Matthew Sturos, Kimberly VanderWaal, Hemant Naikare, Franco Matias-Ferreyra, Rob McGaughey, Jamie Retallick, Sara McReynolds, Sara McReynolds, Jordan Gebhardt, Angela Pillatzki, Jon Greseth, Darren Kersey, Travis Clement, Jane Christopher-Hennings, Beth Thompson, Beth Thompson, Jonah Perkins, Melanie Prarat, Dennis Summers, Craig Bowen, Joseph Boyle, Kenitra Hendrix, James Lyons, Kelli Werling, Andreia G. Arruda, Mark Schwartz, Mark Schwartz, Paul Yeske, Deborah Murray, Brigitte Mason, Peter Schneider, Samuel Copeland, Luc Dufresne, Daniel Boykin, Corrine Fruge, William Hollis, Rebecca Robbins, Thomas Petznick, Kurt Kuecker, Lauren Glowzenski, Megan Niederwerder, Xiaoqiu Huang, Daniel C. L. Linhares, Giovani Trevisan

“…Production sites located in states with the largest swine inventory have contributed to the most frequent detection of new PRRSV strains. Additionally, the development of a web-based tool provides end users with the capability to search sequences similar to their query sequence, providing macroepidemiological information and genetic sequence features to support PRRSV management and control. …”
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Young People's Housing Opportunity in Post-reform China by Weijing Deng

“…What, then, were the structural features of housing opportunity for young Chinese people in post-reform China? …”
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Heterogeneity in the Driver Behavior: An Exploratory Study Using Real-Time Driving Data by Jahnavi Yarlagadda, Digvijay S. Pawar

“…Driver behavior heterogeneity is a significant aspect to understand the individual behavioral variations and develop driver assistance systems. This study characterizes the heterogeneity in driving behavior using real-time driving performance features. …”
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Research of unstructured data interpretation problems by V. S. Tomashevskaya, D. A. Yakovlev

“…One of the key tasks when working with unstructured data is to find and identify patterns in order to understand them and develop filling patterns. …”
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Error-Robust Modes of the Retinal Population Code. by Jason S Prentice, Olivier Marre, Mark L Ioffe, Adrianna R Loback, Gašper Tkačik, Michael J Berry

“…Across the nervous system, certain population spiking patterns are observed far more frequently than others. …”
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Modelling desert dune fields based on discrete dynamics by Steven R. Bishop, Hiroshi Momiji, Ricardo Carretero-González, Andrew Warren

“…When assessing the success of such a model in capturing physical features we monitor morphology, dune growth, dune migration and spatial patterns within a dune field. …”
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Surrogate data analyses of the energy landscape analysis of resting-state brain activity by Yuki Hosaka, Takemi Hieda, Ruixiang Li, Kenji Hayashi, Koji Jimura, Teppei Matsui

“…However, many of these techniques are based on momentary temporal correlation and co-activation patterns and merely reflect linear features of the data, suggesting that the dynamic features, such as state-switching, extracted by these techniques may be misinterpreted. …”
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A codon usage-based approach for the stratification of Influenza A across recent spillovers by Tommaso Alfonsi, Matteo Chiara, Anna Bernasconi

“…The approach developed in this work provides a scalable framework for IAV genomic surveillance, offering insights into viral evolution and shared patterns of codon usage preferences. …”
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Biomedical Data Analysis Systems for the Diagnosis of Skin Neoplasms by O. O. Myakinin

“…Algorithms for a dermatoscopic module are based on the Haar transform, Local Binary Patterns and color features. Algorithms for OCT are based on the texture features of Haralick, Tamura, fractal dimension, complex directional field and Markov random field. …”
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Maritime Commercial Empires and Land Territorial Empires in the Black Sea Region by Лівіу Міхаіл Янку

“…This analysis is carried out in the present paper, while the description of the patterns and the comparison with the current situation and developments in the region shall be tackled in a subsequent paper. …”
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First retrogressive thaw slump (RTS) inventory for the Kanin Peninsula (NW Russia) by Ionut Cristi Nicu, Lena Rubensdotter, Hakan Tanyaș, Luigi Lombardo

“…Using 2022 ESRI Wayback satellite imagery, we manually digitized 900 RTS polygons on the Kanin Peninsula (NW Russia), categorizing them into 633 inactive and 267 active features based on morphology and vegetation patterns. …”
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Linking diversity and distribution to understand biodiversity gradients and inform conservation assessments by Fabricio Villalobos

“…<p>Broad-scale patterns of species richness result from differential coexistence among species in distinct regions of the globe, determined by the species’ ranges and their properties such as size, shape and location. …”
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Multisite study using a customised NLP model to predict disposition in the emergency department: protocol paper by Hamed Akhlaghi, Sam Freeman, Isuru Ranapanada, Md Ali Hossain, Kogul Srikandabala, Damminda Alahakoon, Md Anisur Rahman

“…Generative artificial intelligence, along with a medical dictionary, will be employed to augment and contextually reconstruct triage notes to disambiguate and improve linguistic quality. Text features will be extracted, and cluster analysis will be performed on the extracted topics and text features to identify distinct patterns.…”
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Cellular morphodynamics as quantifiers for functional states of resident tissue macrophages in vivo. by Miriam Schnitzerlein, Eric Greto, Anja Wegner, Anna Möller, Oliver Aust, Oumaima Ben Brahim, David B Blumenthal, Vasily Zaburdaev, Stefan Uderhardt

“…In this study, we employed intravital imaging to generate dynamic data from peritoneal RTMs in mice under various conditions and developed a comprehensive image processing pipeline to quantify RTM morphodynamics over time, defining human-interpretable cell size and shape features. …”
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Multimodal AI model for preoperative prediction of axillary lymph node metastasis in breast cancer using whole slide images by Doohyun Park, Yong-Moon Lee, Taejoon Eo, Hee Jung An, Haeyoun Kang, Eunhyang Park, Yoon Jin Cha, Heejung Park, Dohee Kwon, Sun Young Kwon, Hye-Ra Jung, Su-Jin Shin, Hyunjin Park, Yangkyu Lee, Sanghui Park, Ji Min Kim, Sung-Eun Choi, Nam Hoon Cho, Dosik Hwang

“…Abstract In breast cancer management, predicting axillary lymph node (ALN) metastasis using whole-slide images (WSIs) of primary tumor biopsies is a challenging and underexplored task for pathologists. We developed METACANS, an multimodal artificial intelligence (AI) model that integrates WSIs with clinicopathological features to predict ALN metastasis. …”
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CoAt-Set: Transformed coordinated attack dataset for collaborative intrusion detection simulationMendeley Data by Aulia Arif Wardana, Grzegorz Kołaczek, Parman Sukarno

“…The CoAt-Set dataset is a transformed dataset specifically designed for collaborative anomaly detection within Collaborative Intrusion Detection Systems (CIDS). It is developed by extracting and relabeling coordinated attack patterns from well-established datasets, including CIC-ToN-IoT, CIC-IDS2017, CIC-UNSW-NB15, CSE-CIC-IDS2018, CIC-BoT-IoT, Distrinet-CIC-IDS2017, and NF-UQ-NIDS. …”
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Prediction of delirium occurrence using machine learning in acute stroke patients in intensive care unit by Hyungjun Kim, Hyungjun Kim, Min Kim, Da Young Kim, Dong Gi Seo, Ji Man Hong, Ji Man Hong, Dukyong Yoon, Dukyong Yoon

“…We observed that the patterns of dynamic features, including BT, SpO2, RR, and Heart Rate Variability (HRV) kept changing as the time points were getting closer to the delirium occurrence time. …”
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Study on the prehistoric decorated spindle whorls in Haidai region of China by Yuan Tao, Qicai Wang

“…The patterns on the decorated spindle whorls were analyzed and classified, and the characteristics of the patterns in different cultural periods were studied, and based on this, the purpose of making decorated spindle whorls and the function and meanings of the patterns were discussed. …”
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Urban-Rural Differentiation in Serbia Beyond the Women’s Role in the Local Labor Force by Drobnjaković Marija, Panić Milena

“…Differentiation between rural and urban areas in Serbia is a disputable issue, usually based on the most commonly used indicators which do not reflect the functional and social local features. This research starts from the hypothesis that labor market gender inequality is strongly correlated with urban-rural dichotomy and patriarchal patterns on women's position. …”
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